- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7721
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Human segmentation in surveillance video with deep learning ; day:6 ; month:9 ; year:2020 ; pages:1-25
Multimedia tools and applications ; (6.9.2020), 1-25
- Creator
-
Gruosso, Monica
Capece, Nicola
Erra, Ugo
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s11042-020-09425-0
- URN
-
urn:nbn:de:101:1-2020102623072803845303
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:30 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gruosso, Monica
- Capece, Nicola
- Erra, Ugo
- SpringerLink (Online service)
Other Objects (12)
Video Polyp Segmentation: A Deep Learning Perspective
Deep learning for video object segmentation: a review
Improving video surveillance systems in banks using deep learning techniques
A deep learning approach to building an intelligent video surveillance system
A novel infrared video surveillance system using deep learning based techniques
Intelligent video surveillance: a review through deep learning techniques for crowd analysis
Application of region-based video surveillance in smart cities using deep learning
Moving Object Detection and Segmentation for Remote Aerial Video Surveillance
Fast body part segmentation and tracking of neonatal video data using deep learning
Fast body part segmentation and tracking of neonatal video data using deep learning
DEEP LEARNING APPLIED TO WATER SEGMENTATION
Robust Semantic Segmentation with Deep Learning
Video Polyp Segmentation: A Deep Learning Perspective
Deep learning for video object segmentation: a review
Improving video surveillance systems in banks using deep learning techniques
A deep learning approach to building an intelligent video surveillance system
A novel infrared video surveillance system using deep learning based techniques
Intelligent video surveillance: a review through deep learning techniques for crowd analysis
Application of region-based video surveillance in smart cities using deep learning
Moving Object Detection and Segmentation for Remote Aerial Video Surveillance
Fast body part segmentation and tracking of neonatal video data using deep learning
Fast body part segmentation and tracking of neonatal video data using deep learning
DEEP LEARNING APPLIED TO WATER SEGMENTATION
Robust Semantic Segmentation with Deep Learning
Video Polyp Segmentation: A Deep Learning Perspective
Deep learning for video object segmentation: a review
Improving video surveillance systems in banks using deep learning techniques
A deep learning approach to building an intelligent video surveillance system
A novel infrared video surveillance system using deep learning based techniques
Intelligent video surveillance: a review through deep learning techniques for crowd analysis
Application of region-based video surveillance in smart cities using deep learning
Moving Object Detection and Segmentation for Remote Aerial Video Surveillance
Fast body part segmentation and tracking of neonatal video data using deep learning
Fast body part segmentation and tracking of neonatal video data using deep learning
DEEP LEARNING APPLIED TO WATER SEGMENTATION